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(SCI), lower back pain, neuro-degenerative disorders and neurological tumors. At the core of our research is the collaboration across disciplines spanning expertise in medicine, biology, computer and
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computer skills (MS Office, SAP, etc.) enable you to work efficiently Experience in the areas of event management and communication, and an affinity for technical applications and web CMS With your
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manufacturing processes (APIs, excipients, intermediates). Intermediate coding skills in Python. Interest in data-driven research with policy impact. Workplace Workplace We offer Your job with impact: Become part
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of database assembly and maintenance, with tasks spanning data discovery, scraping, cleaning, and processing. It is particularly suited to a student with strong data science skills and an interest in working
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afterwards. You will work closely with our research team to implement a new version of our RAG-based chatbot. Profile The ideal candidate will be a computer or data science student, or a student with extensive
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and arrest, building structures with topologically interlocked materials, revealing the processes governing the structural build-up of cement in additive manufacturing, determining the nano- and micro
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controlling atmospheric composition, the detailed processes controlling this exchange are not well understood and highly parameterized in models. Long-term eddy flux observations, which are very limited world
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100%, Zurich, fixed-term The Laboratory of Energy Science and Engineering (LESE) headed by Prof. Müller (ETH Zürich, Department of Mechanical and Process Engineering) is looking for a highly
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. The project aims to investigate generative design algorithms to automate the design process of electromagnetic induction components by using AM technologies and combine it with advanced computational tools. A
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through the electronic application process. Each recommendation consists of two elements: A form to be filled out by the referee An additional letter with the referee’s comments Your referees